PID type fuzzy controller and parameters adaptive method
Fuzzy Sets and Systems
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Process Control Systems: Application, Design and Tuning
Process Control Systems: Application, Design and Tuning
Autotuning a PID controller: a fuzzy-genetic approach
Journal of Systems Architecture: the EUROMICRO Journal - Special issue on evolutionary computing
A neuro-fuzzy controller for speed control of a permanent magnet synchronous motor drive
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A robust self-tuning scheme for PI- and PD-type fuzzy controllers
IEEE Transactions on Fuzzy Systems
New methodology for analytical and optimal design of fuzzy PID controllers
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy proportional integral power control for a cellular CDMA system with time delay
IEEE Journal on Selected Areas in Communications
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
An error-based on-line rule weight adjustment method for fuzzy PID controllers
Expert Systems with Applications: An International Journal
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Interval type-2 fuzzy PID load frequency controller using Big Bang-Big Crunch optimization
Applied Soft Computing
Hi-index | 12.07 |
In time-delay control systems, the observed information is naturally related to a past instant and this delayed information signal will usually cause unsatisfactory results. This study deals with how the time-delay information can be used in reorganizing the rule base of the fuzzy controller so as to improve system performance. It basically proposes a new scheme of appropriate shifting of the rule base to compensate the information lag caused by time delay in the system. The parameters affecting the shifting scheme are elaborated in detail and the new shifting scheme is proposed in a tabulated form that assumes the system time constant and the value of time delay as the main parameters. The effectiveness of the proposed methodology has firstly been tried to be illustrated on different simulation examples and, secondly, a real time application has been done on a heat transfer experimental setup.